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Spatial modelling of healthcare utilisation for treatment of fever in Namibia

Overview of attention for article published in International Journal of Health Geographics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
208 Mendeley
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Title
Spatial modelling of healthcare utilisation for treatment of fever in Namibia
Published in
International Journal of Health Geographics, January 2012
DOI 10.1186/1476-072x-11-6
Pubmed ID
Authors

Victor A Alegana, Jim A Wright, Uusiku Pentrina, Abdisalan M Noor, Robert W Snow, Peter M Atkinson

Abstract

Health care utilization is affected by several factors including geographic accessibility. Empirical data on utilization of health facilities is important to understanding geographic accessibility and defining health facility catchments at a national level. Accurately defining catchment population improves the analysis of gaps in access, commodity needs and interpretation of disease incidence. Here, empirical household survey data on treatment seeking for fever were used to model the utilisation of public health facilities and define their catchment areas and populations in northern Namibia.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Kenya 2 <1%
United Kingdom 2 <1%
Japan 1 <1%
Sweden 1 <1%
Unknown 198 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 19%
Researcher 39 19%
Student > Ph. D. Student 33 16%
Student > Doctoral Student 15 7%
Student > Postgraduate 11 5%
Other 31 15%
Unknown 39 19%
Readers by discipline Count As %
Medicine and Dentistry 47 23%
Social Sciences 21 10%
Nursing and Health Professions 13 6%
Agricultural and Biological Sciences 13 6%
Environmental Science 13 6%
Other 53 25%
Unknown 48 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2016.
All research outputs
#6,108,824
of 22,663,150 outputs
Outputs from International Journal of Health Geographics
#203
of 627 outputs
Outputs of similar age
#54,976
of 244,048 outputs
Outputs of similar age from International Journal of Health Geographics
#10
of 44 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,048 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.